Abstract: A power transmission line photonics-electronics converged long-distance monitoring device (10) and method.

Abstract: A method for identifying a user includes: controlling an electronic device to connect to a first communication network; obtaining target behavior data of a user to be identified from a data pool corresponding to the first communication network, in which, the data pool stores at least one type of candidate behavior data of a candidate user, the candidate behavior data is obtained from a data source corresponding to a second communication network, and a security level of the first communication network is higher than a security level of the second communication network; and obtaining a category of the user to be identified by analyzing the target behavior data based on the first communication network.

Abstract: A method for identifying a user includes: controlling an electronic device to connect to a first communication network; obtaining target behavior data of a user to be identified from a data pool corresponding to the first communication network, in which, the data pool stores at least one type of candidate behavior data of a candidate user, the candidate behavior data is obtained from a data source corresponding to a second communication network, and a security level of the first communication network is higher than a security level of the second communication network; and obtaining a category of the user to be identified by analyzing the target behavior data based on the first communication network.

Abstract: A network data processing method and apparatus, an electronic device, and a storage medium are provided, which are related to the fields of big data and cloud computing. The specific embodiment is: acquiring a plurality of network access records, each of the plurality of network access records includes a source address and a target address; determining a first redirect relationship from the source address to the target address in a respective network access record of the plurality of network access records; determining a set of redirect relationships for all of addresses in the plurality of network access records according to a plurality of first redirect relationships of the plurality of network access records; and acquiring an address to be searched, and determining a final address to which the address to be searched is redirected according to the set of redirect relationships.

Abstract: The present application discloses a method, apparatus, device and storage medium for customizing personalized rules for entities, and relates to the fields of big data and cloud storage. The specific implementation scheme is: setting corresponding multiple fit conditions for entities which need to be fitted with personalized rules; where each fit condition includes a general law, a personalized parameter, and a corresponding customized action; loading data of multiple first entities corresponding to the multiple fit conditions; and for each first entity, acquiring a corresponding fit condition of the first entity; and extracting, from the data of the first entity, the personalized parameter in the corresponding fit condition, and determining a corresponding customized action according to the extracted personalized parameter and the general law in the corresponding fit condition.

Abstract: The disclosure discloses a method and an apparatus for processing identity information, an electronic device, and a storage medium, and relates to a field of data processing technologies. The detailed implementation includes: obtaining first association relationships between identities and entity objects from a plurality of information sources; establishing a relationship graph corresponding to each information source based on at least one first association relationship obtained from each information source; generating a virtual node associated with at least two entity objects in different relationship graphs based on a space-time distance between respective entity objects; and determining a second association relationship between identities involved in different relationship graphs based on the relationship graphs associated with the virtual node.